Executive Summary
In March 2026, cybersecurity researchers identified a new banking malware named VENON, written in Rust, targeting 33 Brazilian financial institutions. VENON employs sophisticated techniques, including DLL side-loading and credential-stealing overlays, to compromise Windows systems. The malware's distribution method involves social engineering tactics, such as enticing users to download malicious ZIP archives via PowerShell scripts. Once executed, VENON performs multiple evasion techniques before establishing a connection to its command-and-control server, enabling remote control over infected systems. This incident underscores a significant shift in the Latin American cybercrime landscape, with threat actors adopting advanced programming languages like Rust to enhance malware capabilities and evade detection. The emergence of VENON highlights the evolving sophistication of banking trojans in the region, necessitating heightened vigilance and advanced security measures among financial institutions.
Why This Matters Now
The emergence of VENON underscores the increasing sophistication of banking malware in Latin America, with threat actors adopting advanced programming languages like Rust to enhance their capabilities and evade detection. This trend necessitates heightened vigilance and advanced security measures among financial institutions to protect against evolving cyber threats.
Attack Path Analysis
The VENON malware campaign began with social engineering tactics, tricking users into downloading a ZIP archive containing malicious payloads. Upon execution, the malware employed DLL side-loading to gain initial access, followed by multiple evasion techniques to bypass security defenses. It then established persistence by installing a scheduled task and hijacking shortcuts to the Itaú banking application. The malware monitored active windows and browser domains to identify when targeted banking applications were in use, enabling it to serve credential-stealing overlays. Communication with the command-and-control server was maintained via a WebSocket connection, facilitating data exfiltration. The primary impact was the theft of banking credentials from users of 33 financial institutions and digital asset platforms.
Kill Chain Progression
Initial Compromise
Description
The adversary used social engineering tactics to trick users into downloading a ZIP archive containing malicious payloads, which, when executed, employed DLL side-loading to gain initial access.
MITRE ATT&CK® Techniques
User Execution: Malicious File
DLL Side-Loading
Masquerading
Process Injection
Boot or Logon Autostart Execution: Shortcut Modification
Input Capture: GUI Input Capture
Application Layer Protocol: Web Protocols
Potential Compliance Exposure
Mapping incident impact across multiple compliance frameworks.
PCI DSS 4.0 – Ensure all system components are protected from known vulnerabilities
Control ID: 6.2
NYDFS 23 NYCRR 500 – Cybersecurity Policy
Control ID: 500.03
DORA – ICT Risk Management Framework
Control ID: Article 5
CISA ZTMM 2.0 – Device Security
Control ID: Pillar 3: Devices
NIS2 Directive – Cybersecurity Risk Management Measures
Control ID: Article 21
Sector Implications
Industry-specific impact of the vulnerabilities, including operational, regulatory, and cloud security risks.
Banking/Mortgage
Primary target of VENON Rust-based banking trojan affecting 33 Brazilian financial institutions through credential-stealing overlays and anti-evasion techniques.
Financial Services
High risk from sophisticated banking malware using DLL side-loading, WebSocket C2 communications, and shortcut hijacking mechanisms targeting financial applications.
Computer Software/Engineering
Development environments exposed through malware analysis revealing threat actor paths, highlighting code security and AI-assisted malware development risks.
Information Technology/IT
Critical security implications from advanced evasion techniques including anti-sandbox checks, ETW bypass, and AMSI bypass requiring enhanced detection capabilities.
Sources
- Rust-Based VENON Malware Targets 33 Brazilian Banks with Credential-Stealing Overlayshttps://thehackernews.com/2026/03/rust-based-venon-malware-targets-33.htmlVerified
- VENON: The First Brazilian Banker RAT in Rusthttps://zenox.ai/en/venon-the-first-brazilian-banker-rat-in-rust/Verified
- Weaponizing WhatsApp: SORVEPOTEL Delivers Astaroth Malwarehttps://blackpointcyber.com/blog/whatsapp-worm-sorvepotel-astaroth-malware/Verified
Frequently Asked Questions
Cloud Native Security Fabric Mitigations and ControlsCNSF
Aviatrix Zero Trust CNSF is pertinent to the VENON malware incident as it could likely limit the malware's ability to move laterally, establish command channels, and exfiltrate data, thereby reducing the attack's overall impact.
Control: Cloud Native Security Fabric (CNSF)
Mitigation: While Aviatrix CNSF may not prevent the initial user action of downloading malicious files, it could likely limit the malware's ability to communicate with external command-and-control servers, thereby reducing the attack's effectiveness.
Control: Zero Trust Segmentation
Mitigation: Aviatrix Zero Trust Segmentation could likely limit the malware's ability to escalate privileges by enforcing strict access controls, thereby reducing the scope of potential damage.
Control: East-West Traffic Security
Mitigation: Aviatrix East-West Traffic Security could likely constrain the malware's ability to move laterally within the network, thereby reducing the potential spread of the infection.
Control: Multicloud Visibility & Control
Mitigation: Aviatrix Multicloud Visibility & Control could likely detect and limit unauthorized command-and-control communications, thereby reducing the malware's ability to receive instructions and exfiltrate data.
Control: Egress Security & Policy Enforcement
Mitigation: Aviatrix Egress Security & Policy Enforcement could likely limit the malware's ability to exfiltrate sensitive data by enforcing strict outbound traffic policies, thereby reducing data loss.
Aviatrix Zero Trust CNSF could likely reduce the overall impact of such incidents by limiting the malware's ability to spread, communicate externally, and exfiltrate data, thereby protecting sensitive banking credentials.
Impact at a Glance
Affected Business Functions
- Online Banking Services
- Customer Account Management
- Digital Asset Transactions
Estimated downtime: 3 days
Estimated loss: $500,000
Customer banking credentials and personal information
Recommended Actions
Key Takeaways & Next Steps
- • Implement Zero Trust Segmentation to restrict lateral movement and limit the spread of malware within the network.
- • Deploy Egress Security & Policy Enforcement to monitor and control outbound traffic, preventing unauthorized data exfiltration.
- • Utilize Threat Detection & Anomaly Response systems to identify and respond to unusual behaviors indicative of malware activity.
- • Ensure robust East-West Traffic Security to detect and prevent unauthorized internal communications.
- • Regularly update and patch systems to mitigate vulnerabilities exploited by malware.
